精东传媒app

Many aspects of modern life are driven by data. Computing practitioners use systems of various types to manage data, both personal and professional. While ultimately the way in which increasingly large data sets are used is critical to society, this course examines the earlier prerequisite fundamentals of computer systems, data capture, data storage, and data manipulation. It builds foundational skills using state of the art systems and tools to prepare for continued studies and practices in information technology.

The course first looks at common computer systems, both physical and virtual, and both local and cloud-based. It then turns to the study of various perspectives on the properties of data, and two main ways of storing and retrieving data digitally: either as files, or in special purpose data stores. In both cases the range of formats and structures, as well as benefits and drawbacks are investigated. The course also discusses data backups, version control, and data integrity checking. Role-based practice of ethics and privacy are covered to build fundamental professional skills, and tools are introduced to support team collaboration. The course also introduces modern cloud-based practices.

1. Compare and contrast, and confidently utilise different types of computing resources, with a focus on virtual machines;
2. Compare and contrast storing data in files and in special purpose data stores, both relational and non-relational, and competently choose and utilise tools to meet goals;
3. Confidently utilise personal, shared, and cloud-based data storage, backup tools, and data integrity checks to carry out common data retrieval tasks in an efficient, safe, and ethical manner;
4. Relate common roles in data management to the ACS Code of Ethics, and, being sensitive to risks around the use of information, apply software mechanisms such as role-based access control to enhance privacy and security;
5. Employ basic version control software and workflows to support team-based collaboration.